Evidence map›Paper›PMID 35931863›Full record

ArticleNature genetics2022

Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment.

Dalia Barkley, Reuben Moncada, Maayan Pour, Deborah A Liberman, Ian Dryg, Gregor Werba, Wei Wang, Maayan Baron, Anjali Rao, Bo Xia and 7 more

Abstract read
In one paragraph

Article in Nature genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 335 papers.

0numbers the graph read from it
0cells of the map it votes in
335citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

335 citing papers in PubMed.

  1. Trial
  2. 4-1BBCell reports. Medicine · 2025
    Trial
  3. Article
  4. Biological effects ofEuropean radiology · 2026
    Observational
  5. Article
  6. Article
  7. Cell plasticity in cancer and therapy resistance.Experimental & molecular medicine · 2026
    Review
  8. Article
  9. Macrophage Trogocytosis of Tumor Cells Drives the Immunosuppression of Tumor Microenvironment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. FAPExperimental & molecular medicine · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

275 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Dalia BarkleyInstitute for Computational Medicine, NYU Langone Health, New York, NY, USA.ORCID http://orcid.org/0000-0001-6537-5557
Reuben MoncadaInstitute for Computational Medicine, NYU Langone Health, New York, NY, USA.
Maayan PourInstitute for Computational Medicine, NYU Langone Health, New York, NY, USA.
Deborah A LibermanInstitute for Computational Medicine, NYU Langone Health, New York, NY, USA.
Ian DrygDepartment of Dermatology, NYU Langone Medical Center, New York, NY, USA.
Gregor WerbaDepartment of Surgery, NYU Langone Health, New York, NY, USA.
Wei WangDepartment of Surgery, NYU Langone Health, New York, NY, USA.
Maayan BaronInstitute for Computational Medicine, NYU Langone Health, New York, NY, USA.
Anjali RaoInstitute for Computational Medicine, NYU Langone Health, New York, NY, USA.ORCID http://orcid.org/0000-0001-8815-9865
Bo XiaInstitute for Computational Medicine, NYU Langone Health, New York, NY, USA.ORCID http://orcid.org/0000-0003-0929-7253
Gustavo S FrançaInstitute for Computational Medicine, NYU Langone Health, New York, NY, USA.
Alejandro WeilDepartment of Pathology, NYU Langone Medical Center, New York, NY, USA.
Deborah F DelairDepartment of Pathology, NYU Langone Medical Center, New York, NY, USA.
Cristina HajduDepartment of Pathology, NYU Langone Medical Center, New York, NY, USA.
Amanda W LundDepartment of Dermatology, NYU Langone Medical Center, New York, NY, USA.
Iman OsmanDepartment of Dermatology, NYU Langone Medical Center, New York, NY, USA.
Itai YanaiInstitute for Computational Medicine, NYU Langone Health, New York, NY, USA. itai.yanai@nyulangone.org.ORCID http://orcid.org/0000-0002-8438-2741

Funding

Project 4P50CA225450 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OSMAN, IMAN · 2019 to 2025
$12.5M
Identification and characterization of cancer cell states by novel computational and experimental technologies - Resubmission - 1U01CA260432 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Richard Mark White, ITAI YANAI · 2022 to 2026
$2.9M
Computational approaches for the systematic detection of cell-cell interactions by spatial transcriptomics - Resubmission - 1R01LM013522 · NLM · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI YANAI, ITAI · 2021 to 2024
$1.4M
Inferring cell state tumor microenvironment maps by integrating single-cell and spatial transcriptomicsR21CA264361 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI YANAI, ITAI · 2021 to 2022
$516k
Cancer cell state interactions with immune populations of the tumor microenvironmentF30CA257400 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BARKLEY, DALIA · 2021 to 2023
$135k
NCI NIH HHS F30 CA257400NCI NIH HHS P50 CA225450NCI NIH HHS R21 CA264361NCI NIH HHS U01 CA260432NLM NIH HHS R01 LM013522
6 · The paper itself

Abstract

Transcriptional heterogeneity among malignant cells of a tumor has been studied in individual cancer types and shown to be organized into cancer cell states; however, it remains unclear to what extent these states span tumor types, constituting general features of cancer. Here, we perform a pan-cancer single-cell RNA-sequencing analysis across 15 cancer types and identify a catalog of gene modules whose expression defines recurrent cancer cell states including 'stress', 'interferon response', 'epithelial-mesenchymal transition', 'metal response', 'basal' and 'ciliated'. Spatial transcriptomic analysis linked the interferon response in cancer cells to T cells and macrophages in the tumor microenvironment. Using mouse models, we further found that induction of the interferon response module varies by tumor location and is diminished upon elimination of lymphocytes. Our work provides a framework for studying how cancer cell states interact with the tumor microenvironment to form organized systems capable of immune evasion, drug resistance and metastasis.

Indexed as

NeoplasmsTumor MicroenvironmentAnimalsEpithelial-Mesenchymal TransitionGene Expression ProfilingInterferonsMiceInterferons

Identifiers

PMID35931863
PMCPMC9886402

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.